弥散峰度成像评估帕金森病患者灰质结构网络拓扑学损伤

Diffusion kurtosis imaging for evaluation on topological damages of gray matter structural network in patients with Parkinson disease

目的 观察基于弥散峰度成像(DKI)构建的灰质结构网络评估帕金森病(PD)患者拓扑学损伤的价值。方法 纳入76例PD患者(PD组)及80名健康受试者(NC组),基于颅脑DKI构建灰质结构网络;对比组间结构网络拓扑属性(全局、节点、模块)的差异。结果 全局属性中,PD组小世界属性(γ、λ、σ)及特征路径长度均大于(P均<0.05)、而全局效率低于对照组(P<0.05);节点属性中,PD组多个核心节点的度中心性和节点效率低于对照组(Bonferroni校正,P均<0.000 6),主要分布于基底节、额叶、顶叶及枕叶。模块属性中,相比对照组,PD组存在广泛模块间连接减低,以及感觉运动网络、默认模式网络、额顶叶网络和视觉网络模块内连接减低(Bonferroni校正,P均<0.01)。结论 DKI灰质结构网络能反映PD患者网络拓扑学改变。

Objective To observe the value of structural network of gray matter constructed based on diffusion kurtosis imaging(DKI)for evaluation on topological damages in patients with Parkinson disease(PD).Methods Totally 76 patients with PD(PD group)and 80 normal controls(NC group)were prospectively enrolled.The structural networks of gray matter were constructed based on DKI data of brain.The topological properties(global,nodal and modular)of structural network were compared between groups.Results In terms of global properties,the values of small world properties(γ,λ,σ)and characteristic path length in PD group were significantly higher,while local efficiency was significantly lower than those in NC group(all P<0.05).In terms of nodal properties,PD group showed significantly decreased degree centrality and nodal efficiency of several nodes compared with those in NC group(Bonferroni correction,all P<0.0006),mainly distributed in the basal ganglia,frontal lobe,parietal lobe and occipital lobe.In terms of modular connectivity,compared with NC group,extensive inter-modular connections as well as intra-modular connections within sensorimotor network,default mode network,fronto-parietal network and visual network significantly reduced in PD group(Bonferroni correction,all P<0.01).Conclusion Structural network of gray matter derived from DKI could reflect topological alterations of network in patients with PD.